argot: A statistical code analyzer built from your repository's history

by get-tmonier · MCP Server · ★ 51

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentsaiai-code-reviewai-guardrailsciclaudeclicode-qualitycode-reviewcoding-style

Quick Facts

Stars51
Forks3
LanguageRust
CategoryMCP Server
LicenseMIT
Quality Score62/100
Open Issues4
Last Updated2026-10-01
Created2026-04-17
Platformsclaude-code, cli, mcp, rust
Est. Tokens~25k

About argot

Lint the rules you never wrote down. AI writes the code. argot harnesses it with the one thing that can’t hallucinate: your repo’s own history. Statistics, not a second LLM. 100% local. It surfaces the divergence — you decide what to accept.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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